Question 1
You have been hired by the Sports Company to build a model that predicts the amount of oxygen that an athlete consumes when performing an intense physical workout. The dataset is provided as follows:
Identify the feature (or features) which is/are irrelevant.
The regression model is
Calculate the prediction OXY. Show at least one calculation to obtain the prediction OXY. Complete your answer in c)
Calculate the sum of squared errors for the set of predictions generated in b)
Question 2
By using logistic regression, build a machine learning model to classify if different dosages of two drugs would cause a dangerous interaction or safe interaction. Dose 1 and Dose 2 have been normalized to range (-1, 1). The slope coefficient and intercept of the decision boundary is given as follows:
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